The Right Architecture for Business Intelligence
By: IBM Cognos View more from IBM Cognos >>
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Augmented analytics tools: a complete guide
By: TechTarget ComputerWeekly.com
Type: eGuide
Augmented analytics tools are designed to simplify the BI and analytics process for business users and citizen data scientists. They've become featured elements in new software releases from BI vendors of all stripes looking to keep up with rivals in automating data discovery, preparation and analysis functions. This e-guide offers insights into the technology's potential uses and critical issues.
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Data integration to support modern BI and advanced analytics programmes
By: TechTarget ComputerWeekly.com
Type: eGuide
Data integration and preparation are the unsung heroes of modern BI and advanced analytics. More so than ever, it would seem, due to the ever-increasing volume and variety of data.
The traditional paradigm of feeding a data warehouse with data that had been extracted from source systems, including transactional databases, then transformed to be loaded for subsequent analysis, using BI tools or statistical analysis software – that paradigm is not History, but it is being complemented with newer models. These latter are more about analysing real-time data, using fast, in-memory databases on the back end. And there is a raft of data preparation tools now available to get the data spruced up and ready for analysis quicker.
Some of these tools have come out of Silicon Valley, where much of the relatively recent wave of back end big data technologies, too, have been invented – originally to serve the needs of Google, Facebook, Amazon, and the rest. We look at some of these data integration and preparation technologies, as show-cased on press trips to Silicon Valley. The most recent of these brought to the fore the need for CIOs to get more economic value from their investments in big data technologies through data integration, including data catalogues.
Dave Wells, practice director, data management at the Eckerson Group puts these more recent approaches in perspective, in a spirited blogpost that argues that the “traditional” data warehouse is not dead.
We also look, in this e-guide, at how British Airways has brought its international business-to-business sales under Salesforce Sales Cloud to bust its data silos. The self-service BI that BA is enabling for its sales professionals is an ambition for many companies. Consultant Rick Sherman, in an interview with SearchDataManagement’s Jack Vaughan, explains how understanding the data integration process is central to such self-service BI and data architecture design.
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Recent BI and Reporting Trends for Oracle EBS
By: Noetix Corporation
Type: eBook
Are you able to effectively leverage and report on Oracle eBusiness Suite data? Read this expert e-book to find out the latest technology trends that may affect your BI and reporting strategy.
Learn more about how to get the most out of included BI/reporting features, when to use OBIEE and discover when you may need to consider alternative tools.
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Top 10 information management stories of 2019
By: TechTarget ComputerWeekly.com
Type: eGuide
Consolidation and acquisition marked the supplier side of the IT industry in respect of information management in 2019. The question of how modern BI and analytics software shapes up to nonrelational big data is addressed. Here are Computer Weekly's top 10 information management stories of 2019.
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How to take control of your Microsoft Power BI assets in the cloud
By:
Type: Video
Microsoft Power BI continues to be a leading platform for data visualization and business intelligence. With its ability to transform complex data into actionable insights, organizations worldwide rely on Power BI to drive decision-making. In this webcast, you’ll be introduced to Alation's new Azure Power BI connector – a tool designed to empower organizations to fully leverage their Power BI investments. By seamlessly integrating with Power BI Cloud and Azure Government Cloud, the connector provides comprehensive visibility into your entire Power BI landscape. By watching, you will learn how you can use this tool to: • Quickly find the right Power BI assets to answer critical business questions • Ensure data quality by tracing data lineage from Power BI back to source systems • Strengthen data governance across your Power BI environment Tune in now to find out how a unified platform can help your organization maximize its Power BI instance.
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Augmentation, Collaboration, Governance: Defining the Future of Self-Service BI
By:
Type: Talk
According to Dresner Advisory’s 2020 Self-Service Business Intelligence Market Study, 62% of the responding organizations say self-service BI is critical for their business. If we look deeper into the need for today’s self-service BI, it’s beyond some Executives and Business Users being enabled by IT for self-service dashboarding or report generation. Predictive analytics, self-service data preparation, collaborative data exploration are all different facets of new generation self-service BI. While democratization of data for self-service BI holds many benefits, strict data governance becomes increasingly important alongside. In this session we will discuss: The latest trends and scopes of self-service BI The role of logical data fabric in self-service BI How Denodo enables self-service BI for a wide range of users Customer case study on self-service BI
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Advanced analytics meld with machine learning to press more value from big data
By: TechTarget ComputerWeekly.com
Type: eGuide
In this e-guide we shine the light on a number of case studies taken from around the world of data analytics. We delve into a number of Silicon Valley-based startups that are looking to shake up the data analytics industry as well as glimpsing into the future of AI-based analytics, data visualisation tools and the Australian data analytics market.
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How To Choose a Data Warehousing Solution in An Ever-Changing Data Landscape
By:
Type: Talk
Are you exhausted trying to keep up with all the new terminology around data lake architecture that supports your BI solutions? What exactly is a data mesh? Do I now need a data fabric? Or...maybe a lakehouse? Or just a data lake? Join Dr. Ries as he walks through today's data architecture design decisions -- and there is no shortage of them. This webinar will help you understand what is the best path forward for your BI challenges, so that you can confidently break down silos and democratize your data. The talk will also discuss how machine learning can be utilized in data architecture and dashboarding solutions.
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Augmented Analytics: Discover How AI is Revolutionizing the BI Industry
By:
Type: Talk
According to a recent Gartner study, it is estimated that 85% of big data projects fail. Main reason for this failure being that datasets significantly grow over time n size and get more complex; thus, the traditional BI solutions can’t keep pace to manage them. Augmented Analytics has proven to be the best solution for the dilemma. By utilizing AI and Machine Learning capabilities to BI solutions you can gather precise appropriate data, achieve comprehensible information patterns, perfect the data analysis models and anticipate better BI insights. In this session we will learn how AI is helping the BI industry to transform into a better, more insightful data representations with more accurate predictions and recommendations. Using multiple AI elements, Augmented Analytics are revolutionizing the BI industry through the power of AI and Machine Learning. It is what every industry in any sector needs today to get the best out of Big Data and BI. Takeaways: What are Augmented Analytics and who are they for? The benefits of adopting Augmented Analytics for BI The AI elements for Augmented Analytics Augmented Analytics challenges Best practices and examples of utilization
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AI in BI: How to Kickstart Your Adoption Journey
By:
Type: Replay
Theoretically, AI in BI should allow all users within an organization to discern, easy to understand actionable insights that help in attaining business outcomes. Often, lack of definition, standards, defined metrics, alignment to business outcomes, paucity of skilled resources and budgets, poor implementation and hesitancy to adopt AI are among some of the top reasons for failure of AI in projects that showed tremendous promise but did not yield good business outcomes. This discussion explores some critical questions every business must ask before adopting AI and a step-by-step approach for implementing AI. Some key areas of exploration during this session: • Why is AI all around us and what is AI in BI? • What are the benefits of AI in BI? • What does it mean to infuse AI in BI? • How does one successfully implement AI in BI? • How do you drive AI adoption in your business? • What are some key steps to realize the power of AI in BI? This session breaks down some of the complexity of AI in BI, where business can gain deeper insight into their data, using intuitive exploration tools, visualizations, dashboards and other easy-to-comprehend metrics and present a more compelling case to their clients, engaging them through concise, explainable data.
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AI in BI: How to Kickstart Your Adoption Journey with Accenture
By:
Type: Replay
Theoretically, AI in BI should allow all users within an organization to discern, easy to understand actionable insights that help in attaining business outcomes. Often, lack of definition, standards, defined metrics, alignment to business outcomes, paucity of skilled resources and budgets, poor implementation and hesitancy to adopt AI are among some of the top reasons for failure of AI in projects that showed tremendous promise but did not yield good business outcomes. This discussion explores some critical questions every business must ask before adopting AI and a step-by-step approach for implementing AI. Some key areas of exploration during this session: • Why is AI all around us and what is AI in BI? • What are the benefits of AI in BI? • What does it mean to infuse AI in BI? • How does one successfully implement AI in BI? • How do you drive AI adoption in your business? • What are some key steps to realize the power of AI in BI? This session breaks down some of the complexity of AI in BI, where business can gain deeper insight into their data, using intuitive exploration tools, visualizations, dashboards and other easy-to-comprehend metrics and present a more compelling case to their clients, engaging them through concise, explainable data.
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How streaming analytics offers business value
By: SAS
Type: White Paper
This resource explains streaming analytics and describes how it can enable real-time decision-making based on current evidence. Learn how you can resolve business problems more quickly and make data-driven decisions.
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Quality Control: Using BI Tools to Improve Data Quality
By:
Type: Talk
Quality ingredients are a must if you’re looking for quality results and this is especially true for business intelligence. In order to draw useful conclusions, BI teams must be able to look at accurate data that is relevant for their specific queries. This can be more complicated than organizations may realize, thanks to the overwhelming amounts of data that companies are producing at all times. Sorting through this data, eliminating outliers or faulty numbers, and organizing it into useful segments are all necessary steps towards ensuring data quality. Fortunately, this is a two-way street. The right BI tools can also be used to help improve the quality of data itself, in a self-supporting cycle that strengthens each element. In this episode of the BI Report, our panel will look at how to leverage your BI solutions to boost your data worthiness. In this episode, we’ll cover: — Why improving data quality is so critical for BI teams — The Extract, Transform and Load (ETL) process and its strengths & limitations — Using BI tools to refine data aggregation at the source — And much more
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Business Analytics: how AI is augmenting analysis, and bolstering data literacy shortfalls
By: TechTarget ComputerWeekly.com
Type: eGuide
Artificial Intelligence and human analysis have been coming together in recent years. Whether using packaged BI and data preparation tools, or languages like Python and R, business analysts and data scientists and engineers alike have been exploring the use of machine learning algorithms to augment their data analyses. Read more in this e-guide.
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Successful BI with a Data Catalog
By:
Type: Replay
Data catalogs have emerged as a key enabler for BI, addressing half of the difficulty posed to successful BI: finding, accessing and using analytics content. See analytics industry veteran Bill Hostmann as he shares learnings from Dresner Advisory Services’ third annual Data Catalog Market Study, including: • Recommendations for investing in BI • The correlation between governance and successful BI • The top considerations for investing in a data catalog • An overview of data catalog features and capabilities of top priority to end-users And, Alation’s CDO Aaron Kalb will discuss how Alation, the top-ranked in the study for the third year in a row, supports BI users and stewards. Watch this webinar to learn how your organization can leverage a data catalog to succeed in business intelligence.
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To Infinity and Beyond - Edwin Coe LLP Webinar
By:
Type: Talk
Join our Gold Sponsor Edwin Coe LLP for an in-depth Webinar Edwin Coe’s Insurance Litigation Partner, Nicola Maher and Jonathan Samuelson, Partner of Harris Balcombe will present a focused review of the recent High Court judgment in: Infinity Reliance Limited (trading as My 1st Years) v Heath Crawford Limited [2023] EWHC 3022 (Comm). This significant case delves into the critical obligations brokers have in advising on the scope and adequacy of Business Interruption (BI) coverage - an essential aspect for loss adjusters and claims handlers managing BI claims. Our presenters will share practical insights on accurately calculating BI sums insured and effectively managing underinsurance risks, providing actionable guidance specifically tailored for professionals working with BI policies. Key Topics Covered: 1. High Court findings in Infinity Reliance v Heath Crawford: Key takeaways for claims professionals 2. Practical strategies for assessing BI sums insured accurately 3. Steps to mitigate underinsurance risks in BI coverage Who Should Attend: This session is ideal for loss adjusters, claims professionals, and other insurance experts who want to deepen their understanding of BI coverage and broker responsibilities. Don’t miss this opportunity to enhance your expertise in BI insurance claims. We look forward to seeing you there!
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Arranging business interruption cover – Three essentials to get right
By:
Type: Video
Damian is a renowned expert and leading industry authority on the highly technical subject of BI. In this session he will give his insight into the most important aspects of BI that every broker needs to know.
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Data Governance & Regulatory Compliance: How BI Can Help
By:
Type: Talk
Data is meaningless unless it is handled in an efficient, organized way that ensures quality and accuracy. To achieve this, organizations need to introduce a consistent standard of data handling, otherwise known as a data governance protocol. By targeting such things as data integrity, data standardization and audit capabilities, BI teams can develop a system that supplies them with the best quality data so they can turn it into the most useful intelligence. It’s now just the BI unit that wins here. BI tools can also be used to reverse engineer data protocols and strengthen governance and compliance. This technology is designed to detect patterns and sort data, making it a great tool to detect any issues with existing governance so that organizations can refine their protocol. In this latest episode of The BI Report, our panel will break down how BI can help strengthen data governance and regulatory compliance in a symbiotic relationship.
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Launching a cloud-based analytics campaign: The peaks and pitfalls
By: NEC Corporation of America
Type: eGuide
In this expert e-guide, learn about some of the major issues facing modern analytics. Read about the initial struggle of launching an operational analytics program, and how integration with cloud solutions can help alleviate these pains. In addition, read about a travel-booking company's success story of BI cloud integration.
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Integrating Machine Learning Models into BI Platforms
By:
Type: Talk
Every department is looking for ways to take advantage of the new developments in AI and machine learning models, but Business Intelligence teams should be at the front of the line. Machine learning models are an incredible resource for anyone who needs to process large volumes of data, quickly and efficiently. They build on current data analysis processes and allow users to develop algorithms tailored to a specific environment. For BI teams, figuring out how to leverage ML models within their existing platforms will supercharge their analysis and open the door for more advanced intelligence work. In this episode of The BI Report, host Gowri Selka and expert guests will look at how BI teams can integrate AI and machine learning directly into their BI platforms. The conversation will look at several key points, including: — Embedding ML models in dashboards — Scoring models within reports — And real-time AI-driven insights through BI platforms.
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How Gen AI and Business Intelligence Will Work Together in 2024
By:
Type: Talk
Today’s business intelligence programs take a radically different approach to their predecessors. Where BI used to focus on data reporting and primarily historical analysis, now BI teams are able to utilize predictive analytics thanks to new AI capabilities. With Generative AI specifically, business intelligence is becoming more accessible; these tools further reduce the barrier to entry by enabling consumers with very low to no data analysis knowledge to not only use the reports, but also to perform analysis. The effects of Gen AI on business intelligence are already being seen. Organizations are noticing that it reduces the process and time needed to collect and prepare data, while offering speech-activated user interfaces to perform analysis. This conversational style UX helps to develop smart recommendations of actions that BI teams can take in 2024. It is expected that this collaboration will only grow, making this year an exciting time for business intelligence strategy. In this new episode of The BI Report, host Gowri Selka and her guest panel will explore how Gen AI will help BI to enhance the speed, accessibility and ability to personalize actions. Join this session to explore further practical ways to integrate Gen AI with BI.
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New wave BI and analytics: turning modern data stores to account
By: TechTarget ComputerWeekly.com
Type: eGuide
This e-guide looks at how companies and other organisations are doing BI and analytics on the newer data stores.
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The Healthcare Industry Deep Dive: Targeted BI & Gen AI Capabilities
By:
Type: Talk
The healthcare industry comprises so much more than just the patient and the doctor. Behind every treatment plan and patient interaction is a complex web of operations that relies on the latest advances in technology. With the recent development in AI capabilities, healthcare has developed a new normal in all facets of operations thanks to AI implementation. Patient experience, provider interactions, diagnostic tools and care providers activities are all changing rapidly using the new technology capabilities – but they also have to adhere to strict regulations. Compliance is an area that BI is able to contribute to significantly. Business intelligence has always played a key role in meeting regulatory needs, helping patients with their medical adherence and helping providers improve their communications in an efficient manner. With the enablement of Gen AI, healthcare operations are set to transform from end to end. Tune in to this latest episode of the BI Report to hear about the array of possibilities that BI and Gen AI can provide when it comes to advancing healthcare access and accuracy.
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What Agile BI Can Do for Your Business
By:
Type: Talk
Agility has become a buzzword over the past two years — and even more so when it comes to business intelligence. According to research, 93% of the organizations that had fully implemented an agile BI strategy before the pandemic outperformed those that hadn’t. As the market adjusts to a new normal of constant change, how can adopting agile BI practices help your organization ride the waves of dynamic demand? Tune into May’s episode of the Business Intelligence Report to learn from leaders in the field when it comes to implementing an agile BI strategy. Viewers will walk away with understandings of how agile analytics foster quicker ROI and increase capacity to adapt to changing business needs. Topics for discussion include the following: • What defines agile BI today •The most common hurdles to agile BI adoption • The advantages of agile BI, from decreasing time to market and increasing ROI to increasing user adoption •How your business can get started •And more! Speakers: Gowri Selka, Data Analytics Strategist & Advisor at Volantsys Analytics Stephanie Sibert, Director, Business Intelligence & Analytics at Ironclad Kate Schiffelbein, Director of Business Intelligence at Kentik Abeer Shrivastava, Director - Business Intelligence & Advanced Analytics at SubroSmart
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What Agile BI Can Do for Your Business
By:
Type: Talk
Agility has become a buzzword over the past two years — and even more so when it comes to business intelligence. According to research, 93% of the organizations that had fully implemented an agile BI strategy before the pandemic outperformed those that hadn’t. As the market adjusts to a new normal of constant change, how can adopting agile BI practices help your organization ride the waves of dynamic demand? Tune into May’s episode of the Business Intelligence Report to learn from leaders in the field when it comes to implementing an agile BI strategy. Viewers will walk away with understandings of how agile analytics foster quicker ROI and increase capacity to adapt to changing business needs. Topics for discussion include the following: • What defines agile BI today •The most common hurdles to agile BI adoption • The advantages of agile BI, from decreasing time to market and increasing ROI to increasing user adoption •How your business can get started •And more! Speakers: Gowri Selka, Data Analytics Strategist & Advisor at Volantsys Analytics Stephanie Sibert, Director, Business Intelligence & Analytics at Ironclad Kate Schiffelbein, Director of Business Intelligence at Kentik Abeer Shrivastava, Director - Business Intelligence & Advanced Analytics at SubroSmart
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What Agile BI Can Do for Your Business
By:
Type: Talk
Agility has become a buzzword over the past two years — and even more so when it comes to business intelligence. According to research, 93% of the organizations that had fully implemented an agile BI strategy before the pandemic outperformed those that hadn’t. As the market adjusts to a new normal of constant change, how can adopting agile BI practices help your organization ride the waves of dynamic demand? Tune into May’s episode of the Business Intelligence Report to learn from leaders in the field when it comes to implementing an agile BI strategy. Viewers will walk away with understandings of how agile analytics foster quicker ROI and increase capacity to adapt to changing business needs. Topics for discussion include the following: • What defines agile BI today •The most common hurdles to agile BI adoption • The advantages of agile BI, from decreasing time to market and increasing ROI to increasing user adoption •How your business can get started •And more! Speakers: Gowri Selka, Data Analytics Strategist & Advisor at Volantsys Analytics Stephanie Sibert, Director, Business Intelligence & Analytics at Ironclad Kate Schiffelbein, Director of Business Intelligence at Kentik Abeer Shrivastava, Director - Business Intelligence & Advanced Analytics at SubroSmart
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Accenture & Qlik: BI Migration and Modernization
By:
Type: Video
Working with clients all over the world, the Accenture & Qlik team hears many common BI management issues, including: - How can I overcome the constraints of legacy BI - How can I minimize the challenges of SaaS migration; and - How can mitigate data security and compliance risks Join us to learn how combining Qlik Application Automation (QAA) with the latest features of Qlik Cloud can accelerate your BI migration to SaaS and deliver organizational value. Embrace a laser-focuses SaaS migration approach which unlocks the power of automation across the entire migration pipeline. This session will cover: - Discovering and planning your SaaS migration to rationalize and modernize a convoluted and siloed BI landscape - Adopting a transparency focused mindset for automation and migration - Monitoring and managing your Qlik platforms during and following your migration journey - A technical demo showcasing how to leverage bespoke QAA workflows which support multiple stages of the migration pipeline By attending you also will hear from our BI experts who completed projects that automated the migration of dashboards, data connections, task chains and more from on-premise to Qlik Cloud that accelerated BI migration, oftentimes at 2x to 3x vs industry averages.
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What Agile BI Can Do for Your Business
By:
Type: Talk
Agility has become a buzzword over the past two years — and even more so when it comes to business intelligence. According to research, 93% of the organizations that had fully implemented an agile BI strategy before the pandemic outperformed those that hadn’t. As the market adjusts to a new normal of constant change, how can adopting agile BI practices help your organization ride the waves of dynamic demand? Tune into May’s episode of the Business Intelligence Report to learn from leaders in the field when it comes to implementing an agile BI strategy. Viewers will walk away with understandings of how agile analytics foster quicker ROI and increase capacity to adapt to changing business needs. Topics for discussion include the following: • What defines agile BI today •The most common hurdles to agile BI adoption • The advantages of agile BI, from decreasing time to market and increasing ROI to increasing user adoption •How your business can get started •And more! Speakers: Gowri Selka, Data Analytics Strategist & Advisor at Volantsys Analytics Stephanie Sibert, Director, Business Intelligence & Analytics at Ironclad Kate Schiffelbein, Director of Business Intelligence at Kentik Abeer Shrivastava, Director - Business Intelligence & Advanced Analytics at SubroSmart
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Creating a powerful new revenue stream with AllCloud
By: AllCloud
Type: Case Study
In this case study, you’ll find out how Proficient Health teamed up with AllCloud to develop a new data analytics solution and revenue source. AllCloud assisted in creating a data lake, Redshift cluster, and secure connections, allowing Proficient Health's clients to analyze more data in their BI tools. Read on now to learn more.
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MicroScope – November 2020: Simplify the path to partner programmes
By: MicroScope
Type: Ezine
In this issue, discover how to navigate the complexity of channel partner programmes to best foster relationships, how business intelligence software is helping companies look beyond Covid-19, and why leaders are looking forward to 2021
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Fireside Chat: Infusing AI Into Analytics
By:
Type: Video
Watch a thrilling fireside chat centered around discussing the insightful research completed by Mike Leone and team at Enterprise Strategy Group, part of Tech Target. This research delves into the state of how AI is being infused into analytics and business intelligence platforms. We discuss: Why AI integration into BI and analytics remains a priority to businesses The challenges of integrating AI into BI and analytics effectively. The realities of how AI is revolutionizing data and analytics to bring pervasive insights to all employees. What steps you should take to properly integrate AI into your BI and analytics.
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How automation saved a large healthcare system 5 hours daily
By: AMN Healthcare
Type: Case Study
A large, renowned healthcare system known for inventing new models of patient-centered, cost-effective care was struggling with manual processes and the inability to share workforce data in a timely manner between solutions, preventing a holistic view of data across their organization. Discover how
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Moving from BI to Automated Machine Learning
By:
Type: Video
Machine Learning has become a competitive differentiator in a big data world. Vast amounts of data are already overwhelming existing BI tools and analytics processes. When faced with hundreds of variables, a human’s ability to efficiently identify new insights or detect changing patterns manually has also been exceeded. To address these challenges, BI and analytics professionals are adopting user-friendly, automated machine learning solutions. In this on-demand webinar, recognized analytics industry expert Jen Underwood discusses how BI and analytics professionals can get started with automated machine learning.
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Personalized BI Insights Using Artificial Intelligence
By:
Type: Talk
Business intelligence teams are tasked with supporting their company’s decision makers, through accurate and relevant analysis. The challenge is that these decision makers often work in different parts of the business and require personalized insights, based on specific parameters. BI teams need to be able to produce analysis that is tailored to various use cases, individuals and business needs, all from the same large data set. While this is possible with older business intelligence tools, it can be time-consuming and complex to identify the most valuable insights for so many different situations. This is where BI teams need to be taking advantage of artificial intelligence. Through strategic use of AI, teams can deliver insights and recommendations that are based on specific users' roles, preferences, and past behaviors. The right AI tools will support BI professionals in various analysis needs, automating the collection of hyper-specific data so that each decision maker is equipped with the most helpful insights. Join host Gowri Selka and her panel of independent experts in this episode of The BI Report, where they will discuss how to use AI to generate personalized BI results. The conversation will include: — Recommendation engines for business decisions — The creation of customized reports — And role-based access to insights for decision-makers
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Got data. Now what? Sharing insights with PowerBI
By:
Type: Video
Decision making, collaboration & ideation are only possible when data and insights can be shared and visualized. Power BI enables business users to quickly bridge the gap between data and decision making. Learn how Dell Technologies Services has helped customers implement Power BI to model and visualize their data to derive new insights from their data.
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Generative BI from Amazon QuickSight
By:
Type: Video
Curious to learn more about Generative AI from Amazon? Learn how Amazon is leveraging the new Large Language Models (LLM) capabilities available through Amazon Bedrock to deliver a business intelligence tool to help transform traditional multistep business Intelligence (BI) tasks into intuitive and powerful natural language experiences with Generative BI capabilities in Amazon QuickSight. Watch this video to hear AWS experts dive into Amazon QuickSight’s Generative BI capabilities. Learn about how anyone can interact with data in natural language, create and share compelling data stories, refine visuals, and build complex calculations by simply asking QuickSight Q.
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How Comcast Modernized their legacy Oracle BI
By:
Type: Talk
Modernizing analytics is an opportunity for companies to reassess their needs, drive transformation and streamline existing processes and data pipelines. For customers using last-generation technology that is approaching end-of-life support, such as Oracle OBIEE, projects often contain significant complexity across three critical areas: Projects rely on legacy data architectures, with patchwork data pipelines consisting of many analytic “choke points” that can cause inefficiency in moving from raw data to insights. The technology stacks themselves are last-generation, with many moving parts and heavily-specialized configuration needs, and BI delivery typically follows outdated modeling and design principles, with functionality that no longer meets the needs of modern business consumers. In this webinar, learn how Incorta delivers an agile approach to modern analytics that streamlines the data architecture, unifies the analytics platform through a simplified and scalable technology stack and offers unrivaled access to operational data with faster time-to-insights. Hear from Comcast around their Oracle BI modernization journey, including how over 150 separate back-end ETL processes and legacy reports were decommissioned through a single Incorta deployment that reduced BI development cycles by over 88%.
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Future-Proofing Your Analytics Investment through AI and Cloud
By:
Type: Talk
In this latest Data Science Central webinar, taking advantage of the newest innovations across the business intelligence and analytics landscape is critical to stay ahead of the competition and drive real value from your data. AI, machine learning, and cloud are all raising the bar, and you can position yourself to take advantage of these new capabilities now and in the future. Join Wayne Eckerson from the Eckerson Group along with Chris Mabardy and Denise LaForgia from Qlik as they explore how the BI market is evolving, and the key technologies that will unlock the value of your data for everyone. Topics discussed will include: - The importance of augmented analytics that leverage AI and natural language processing - How automated machine learning can bring the power of data science to analytics teams - Why the rise of cloud analytics is critical to harnessing BI innovation Register today to get our insights on the evolving BI market and future proofing your BI investment. Speakers: Wayne Eckerson, President, Eckerson Group Chris Mabardy, Senior Director Product Marketing, Qlik Denise LaForgia, Director of Product Marketing, Qlik
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Future-Proofing Your Analytics Investment through AI and Cloud
By:
Type: Talk
In this latest Data Science Central webinar, taking advantage of the newest innovations across the business intelligence and analytics landscape is critical to stay ahead of the competition and drive real value from your data. AI, machine learning, and cloud are all raising the bar, and you can position yourself to take advantage of these new capabilities now and in the future. Join Wayne Eckerson from the Eckerson Group along with Chris Mabardy and Denise LaForgia from Qlik as they explore how the BI market is evolving, and the key technologies that will unlock the value of your data for everyone. Topics discussed will include: - The importance of augmented analytics that leverage AI and natural language processing - How automated machine learning can bring the power of data science to analytics teams - Why the rise of cloud analytics is critical to harnessing BI innovation Register today to get our insights on the evolving BI market and future proofing your BI investment. Speakers: Wayne Eckerson, President, Eckerson Group Chris Mabardy, Senior Director Product Marketing, Qlik Denise LaForgia, Director of Product Marketing, Qlik
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Powering data-driven decisions quickly with a tailored solution
By: AMN Healthcare
Type: Case Study
A prestigious Midwest healthcare system was struggling with cumbersome and time-consuming processes to pull workforce data and combining them. The process took at least 48 hours, had the potential for errors, and proved impossible to fulfill urgent requests from leadership. Discover how much they saved in labor time per week in this case study.
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Basically Business Interruption
By:
Type: Talk
Sue Taylor will begin with the basics of what is covered under a BI policy and the key requirements that have to be met. Providing simple but thought provoking comments on BI definitions to help de-mystify potentially confusing areas of cover. Sue will then explore the common extensions that are available to be added to a BI policy. NOTE: This webinar has been made available by the Chartered Institute of Loss Adjusters (CILA) solely for the use and convenience of the viewer. The content, views and representations made in this presentation are the sole product and responsibility of the speakers who have produced it. By making this presentation available the CILA does not offer any endorsement or recommendation of the views and opinions expressed therein. For a full explanation of the terms and conditions upon which the CILA provides this webinar please see our full disclaimer which available on the Institute website.
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Data Fabric for Analytics & Cloud : A Telco Realty
By:
Type: Talk
With cloud permeating everywhere, it has become imperative for all Telco companies to adopt and migrate their data to cloud for all analytic workloads. How has this effected BI workloads? Do cloud based BI solutions help Telcos? Does Analytics in cloud deliver simpler path to predictive models? Uniform and standardized workloads? Does it help in reducing implementation time, better data availability? And scalability of models? A user’s perspective in Telco
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Best practices for architecting and rolling out data quality at scale
By:
Type: Video
Learn about data quality best practices from our experts. In this session you will learn how to utilize our data quality solution and best practices for using BI tools with custom queries. Our experts will also discuss enterprise deployment patterns and architecture considerations on compute platforms like Hadoop, K8s and more.
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Best practices for architecting and rolling out data quality at scale
By:
Type: Replay
Learn about data quality best practices from our experts. In this session you will learn how to utilize our data quality solution and best practices for using BI tools with custom queries. Our experts will also discuss enterprise deployment patterns and architecture considerations on compute platforms like Hadoop, K8s and more.
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Liverpool Insurance Institute - COVID-19 and the impact on BI claims
By:
Type: Talk
This session will cover the complexities that COVID-19 and the subsequent impact of the FCA Test Case on BI claims.
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Everything You Need to Know About Mobile Business Intelligence
By:
Type: Talk
Fully remote and hybrid work are at an all-time high, with Gartner predicting that 31% of global workers and a staggering 53% of U.S. workers will be remote for 2022. As a result, a newer trend is on the rise: mobile business intelligence. As working from anywhere becomes the norm and expectations for responsiveness continue to rise, what should business leaders know about equipping their employees with mobile work capabilities? Tune into March’s episode of The BI Report to learn from leading experts when it comes to evaluating and implementing a mobile business intelligence strategy for your organization. This panel-style webinar will present key insights to help viewers walk away with a firm understanding of the opportunities mobile BI presents in a new era of work. Areas for discussion include the following: - When the mobile BI trend began, and why it’s gaining importance in 2022 - The advantages of mobile BI, including enhancing collaboration, efficiency, competitive advantage, and more - The common hurdles to adoption of mobile BI - Where to start and what devices to consider including in your strategy - And more! This episode is part of The Business Intelligence Report original series with Gowri Selka, Data Analytics Strategist & Advisor at Volantsys Analytics. We welcome viewer participation and questions during this interactive panel session. Speakers: Gowri Selka, Data Analytics Strategist & Advisor at Volantsys Analytics Ariful Mondal, Consulting Practice Partner at Wipro Rajdeep Biswas, Head of Data Engineering & Analytics, Vice President at GEP
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Everything You Need to Know About Mobile Business Intelligence
By:
Type: Talk
Fully remote and hybrid work are at an all-time high, with Gartner predicting that 31% of global workers and a staggering 53% of U.S. workers will be remote for 2022. As a result, a newer trend is on the rise: mobile business intelligence. As working from anywhere becomes the norm and expectations for responsiveness continue to rise, what should business leaders know about equipping their employees with mobile work capabilities? Tune into March’s episode of The BI Report to learn from leading experts when it comes to evaluating and implementing a mobile business intelligence strategy for your organization. This panel-style webinar will present key insights to help viewers walk away with a firm understanding of the opportunities mobile BI presents in a new era of work. Areas for discussion include the following: - When the mobile BI trend began, and why it’s gaining importance in 2022 - The advantages of mobile BI, including enhancing collaboration, efficiency, competitive advantage, and more - The common hurdles to adoption of mobile BI - Where to start and what devices to consider including in your strategy - And more! This episode is part of The Business Intelligence Report original series with Gowri Selka, Data Analytics Strategist & Advisor at Volantsys Analytics. We welcome viewer participation and questions during this interactive panel session. Speakers: Gowri Selka, Data Analytics Strategist & Advisor at Volantsys Analytics Ariful Mondal, Consulting Practice Partner at Wipro Rajdeep Biswas, Head of Data Engineering & Analytics, Vice President at GEP
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Reducing Decision-Making Time with AI-Powered BI Recommendations
By:
Type: Talk
The most helpful BI recommendations will draw from many connected pieces of data, but analyzing large volumes can take a considerable amount of time. In today’s fast-paced environment, most professionals cannot wait for these insights before they act, rendering them ultimately useless. BI teams need to figure out new systems that will allow them to support their decision makers with accurate, timely analysis that can be put to use immediately. Increasingly, this means leveraging AI-powered solutions. Since AI can filter and process data at far quicker rates than a human, it is possible to gain answers almost instantaneously – once BI teams train the tool on what data to look at and what to look for. This dramatically reduces the time spent on decision-making, so companies can react quickly to market changes and stay ahead of the competition. The challenge is finding the right tool for your business and learning how to use it in a way that promotes efficiency, rather than adding to the complexity. In this episode of The BI Report, host Gowri Selka and her panel of expert guests will break down how to leverage AI tools to meaningfully reduce decision-making time. Key features that will be discussed include: — Personalized recommendations — Prescriptive analytics — Faster decision-making with AI-generated insights
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Unlock data-driven insights with smart analytics
By: Zencore
Type: Product Overview
Transform your data into business value with Zencore's Smart Data and Analytics solution. Automate data governance, enable self-service BI, and integrate data into your workflows. Learn how Zencore can help you unlock revenue - read the full Product Overview.